Wesley Pasfield
Machine Learning & Agentic AI Practitioner | Adjunct Professor
GenAI and ML Specialist Solutions Architect, Databricks
Previously US Census Bureau, Lark Health, Amazon/AWS, GoPro, Nielsen Company
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About Me
Wesley Pasfield is a Machine Learning and Agentic AI practitioner with over 15 years of experience across both leadership and technical roles. He currently serves as a GenAI and ML Specialist Solutions Architect at Databricks, where he specializes in agentic AI evaluation and self-optimizing agents guided by domain expertise. His work focuses on helping customers deploy AI agents that continuously improve through evaluation frameworks and domain-specific feedback loops.
Wesley's expertise spans the full lifecycle of AI deployment, from strategic product development to hands-on engineering of AI agents and traditional machine learning models. He previously served as an Emerging Technology Fellow at the US Census Bureau, focusing on AI policy and the safe evaluation of large language models. His career includes extensive experience in data science and analytics at Amazon, AWS, GoPro, Nielsen, and Lark Health. Wesley has also been an instructor in the Applied Artificial Intelligence program at the University of San Diego since 2022.
Core Expertise
Agentic AI
- AI agent development and architecture
- Agent evaluation frameworks
- Self-optimizing systems with domain expertise
Machine Learning
- Predictive modeling for user behavior
- ML pipelines on AWS and Databricks
- LLM evaluation and safety
Leadership & Policy
- Data Science and ML leadership
- AI policy and regulation
- Strategic AI product development